Self-Organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-agent Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Lopez:ICCEA:2010,

• author = "Oscar Javier {Romero Lopez}",
• title = "Self-Organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-agent Systems",
• booktitle = "Second International Conference on Computer Engineering and Applications (ICCEA, 2010)",
• year = "2010",
• month = "19-21 " # mar,
• volume = "1",
• pages = "417--421",
• address = "Bali Island",
• isbn13 = "978-1-4244-6079-3",
• abstract = "Managing and arbitrating behaviours, processes and components in multilayered cognitive architectures when a huge amount of environmental variables are changing continuously with increasing complexity, ensue in a very comprehensive task. The presented framework proposes an hybrid cognitive architecture that relies on subsumption theory and includes some important extensions. These extensions can be condensed in inclusion of learning capabilities through bio-inspired reinforcement machine learning systems, an evolutionary mechanism based on gene expression programming to self-configure the behaviour arbitration between layers, a co-evolutionary mechanism to evolve behaviour repertories in a parallel fashion and finally, an aggregation mechanism to combine the learning algorithms outputs to improve the learning quality and increase the robustness and fault tolerance ability of the cognitive agent. The proposed architecture was proved in an animate environment using a multi-agent platform where several learning capabilities and emergent properties for self-configuring internal agent's architecture arise.",
• keywords = "genetic algorithms, genetic programming, aggregation mechanism, evolutionary mechanism, evolvable cognitive architecture, gene expression programming, intelligent agents, multi-agent system, multilayered cognitive architectures, reinforcement machine learning systems, self-organised evolvable architecture, subsumption theory, cognitive systems, learning (artificial intelligence), multi-agent systems, software architecture",
• DOI = "doi:10.1109/ICCEA.2010.87",
• notes = "Software Engineering Department Fundacion Universitaria Konrad Lorenz, Cra 9 bis No. 62-43 Bogota, Colombia. Also known as \cite{5445796}",

}

Genetic Programming entries for Oscar Javier Romero Lopez

Citations